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Improved schemes for multi-mode coding in the H.264/AVC standard and simplified Lagrangian evaluation for video coding
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Yu, Andy C. (2006) Improved schemes for multi-mode coding in the H.264/AVC standard and simplified Lagrangian evaluation for video coding. University of Warwick. Department of Computer Science. (Unpublished)
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Abstract
This report consists of two parts. In the first part, an efficient algorithm for inter-frame coding in the H.264/AVC standard is extended to provide more significant speedup in computational performance for sequences containing high spatial correlation and motion. The proposed scheme features a more sophisticated search process and robust predictions to achieve better PSNR-rate performance for a large range of compression levels. Extensive simulation results demonstrate speedups of between 41% and 68%, with no noticeable deterioration in picture quality or compression ratio, even for the coding of complex video sequences. Next, the report proceeds to examine the properties of Lagrangian evaluation in the case of high Qp. Supported by extensive statistics and experiments, a cost evaluation is then proposed especially for real-time video coding operating at very low bit rates. Simulation results show that the proposed cost evaluation is able to achieve reductions in terms of coding time and bits spent.
| Item Type: | Report | ||||
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| Subjects: | Q Science > QA Mathematics T Technology > TA Engineering (General). Civil engineering (General) |
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| Divisions: | Faculty of Science > Computer Science | ||||
| Library of Congress Subject Headings (LCSH): | Computer vision, Image processing, Optical pattern recognition, Signal processing -- Digital techniques, Lagrangian functions, Digital video, Video compression | ||||
| Publisher: | University of Warwick. Department of Computer Science | ||||
| Official Date: | February 2006 | ||||
| Dates: |
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| Date of first compliant deposit: | 28 July 2016 | ||||
| Number of Pages: | 28 | ||||
| DOI: | CS-RR-423 | ||||
| Institution: | University of Warwick | ||||
| Theses Department: | Department of Computer Science | ||||
| Status: | Not Peer Reviewed | ||||
| Publication Status: | Unpublished | ||||
| Access rights to Published version: | Open Access | ||||
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